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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
$150Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with high-speed distributed computing frameworks Apache Flink, AWS EMR, Hadoop, HDFS, MapReduce, Apache Spark, Kafka Streams. Java (8/11/17), Cloud (AWS), Apache Flink, Kafka, Jenkins, Harness, Maven/Gradle.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). or Scala, and experience working with modern web frameworks like React, Angular, or Vue.js.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
$165,100 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Preferred) Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc. (Preferred) Experience with distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.
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5+ years of proficiency with AWS including EC2, EMR, S3, Kinesis, Kafka, Redshift, RDS Databases, Cloudwatch, Cloudtrail, Step Functions, IAMs, and Snowflake -Familiarity with Azure is a plus. McDonald's is in search of a Data Engineer with a strong background in DevOps engineering.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. This person will need experience with DevOps tools such as terraform, Jenkins, Ansible, Kafka, and scripting for automation.
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MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments. Need to have : - Python - SQL - Tableau or PowerBI or other dashboarding tool - Marketing or Digital Media focus.
$45 - $50 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Any level of experience with Utilize technical skills including Spark, Python, Java, Scala, SQL, RESTful APIs and Cloud Services including EMR, Keyspaces, Elasticache, Terraform, Data Lake formation, Redshift and data streaming technologies including Apache Kafka, Kinesis to develop and manage multiple assignments, including large and critical data pipeline projects to assure timely and cost-effective deliveries.
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Ability to communicate with a white glove approach to business teamsAdvanced skills with SQL, Power BI, Tableau, or Qlik. Intermediate proficiency with Python (Pandas, Polars, Spark) or R.Experience with Azure Cloud, PowerBI, and Databricks.
$130 - $140,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.) Position SummaryAs a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$118,450 - $267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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Extensive experience working with RDBMS, Spark, Hadoop, Kafka. Experience with AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
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hadoop kafka jobs Title: principal engineer Company: Panalgo in Chicago, IL
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